Optimized and secure digital image watermarking technique using Henon mapping in redundant domain

Nowadays, there is huge requirement of processed data that can be transmitted from one location to another. However data transmission over open channel faces various security related threats. So securing the data is first basic need for successful communication over unsecure channel. One of trusted method to secure the content is digital image watermarking. Digital watermarking secures the contents (audio, video and images) from unauthorized user by embedding secret information inside it. So, possible attacks can be detected by checking the degradation of embedded information. This work presents an optimized digital image watermarking solution using the Dragonfly optimization algorithm for an optimum scaling factor. It employs NSCT, RDWT, and MSVD transformations on the cover image, embedding watermarks in the appropriate band. Security is enhanced using the Henon Map encryption algorithm. Evaluation across diverse cover images demonstrates superior results in invisibility, security, robustness, and embedding capacity for copyright protection.